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https://github.com/BerriAI/litellm.git
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* feat(nvidia_riva): add riva_offline mode for offline-only ASR models Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test(nvidia_riva): assert offline vs streaming via fake service call tracking Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * chore(ui): regenerate schema.d.ts after user soft_budget docstring removal Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(nvidia_riva): parse riva_offline strings, map oversize offline audio to 413 A multipart riva_offline=false no longer turns offline mode on, a malformed value drops under drop_params and answers 400 without it, and a Riva RESOURCE_EXHAUSTED for a message over the server's max now returns a non-retryable 413 instead of a retried 429 * fix(nvidia_riva): apply the request timeout to offline recognition and keep riva_offline on an api_base override Offline Recognize now runs as a gRPC future waited on with the request timeout, so a stalled Riva server returns a 408 and the call is cancelled. riva_offline is a mode flag, not a credential, so an api_base override no longer clears it. The 413 hint for audio over the gRPC message limit is reworded, and the new tests carry type annotations. * fix(nvidia_riva): wait the request timeout in seconds whatever its form and cap the riva client to versions that import A timeout from os.environ, a multipart form field, or an httpx.Timeout reached the gRPC future as a string or object, so result() raised TypeError and every offline call came back as a false 408. The handler now turns the timeout into float seconds with CompletionTimeout.as_limit, taking the read limit of an httpx.Timeout, for both the offline future and the streaming deadline The stt-nvidia-riva extra caps nvidia-riva-client below 2.17, since every later release either pins an older grpcio or ships stubs that need a newer one than the grpcio==1.78.0 pin, so a fresh install failed at import * fix(nvidia_riva): parse the timeout only where the call uses it and drop the riva client cap A malformed timeout no longer fails streaming calls on clients that take no timeout. On offline calls it is a 400, or the default under drop_params, and an httpx.Timeout with no read limit waits the default instead of forever. The nvidia-riva-client cap made installs next to a newer client unresolvable, so the extra goes back to main's specifier. --------- Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> |
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| .. | ||
| _support | ||
| base_sdk_tests | ||
| benchmarks | ||
| code_coverage_tests | ||
| documentation_tests | ||
| e2e | ||
| e2e_harness | ||
| fixtures | ||
| harness_e2e | ||
| integration | ||
| rust-python-harness | ||
| test_litellm_rust | ||
| typing | ||
| unit | ||
| windows_tests | ||
| __init__.py | ||
| _fake_openai_endpoint_server.py | ||
| _flush_vcr_cache.py | ||
| _live_test_helpers.py | ||
| _master_key.py | ||
| _openai_record_replay_proxy.py | ||
| _process_helpers.py | ||
| _vcr_conftest_common.py | ||
| _vcr_redis_persister.py | ||
| _wait_helpers.py | ||
| _ws_vcr.py | ||
| AGENTS.md | ||
| capturing_transport.py | ||
| eval_swe_bench.py | ||
| fake_openai_endpoint.py | ||
| gettysburg.wav | ||
| large_text.py | ||
| openai_batch_completions.jsonl | ||
| pyrightconfig.json | ||
| README.MD | ||
| test_logging.conf | ||
| test_rust_python_harness.py | ||
| VCR_TESTING.md | ||
| white_100x100.png | ||
In total litellm runs 1000+ tests
[02/20/2025] Update:
To make it easier to contribute and map what behavior is tested,
we've started mapping the litellm directory in tests/unit
This folder can only run mock tests.